inspect-claim-support

A claim-support (faithfulness / groundedness) scorer for Inspect AI, packaged as a standalone extension.

claim_support assesses whether a claimed answer is actually substantiated by the conversation transcript — not whether it is correct in absolute terms. It is a model-graded scorer with a rubric that maps SUPPORTED / PARTIAL / UNSUPPORTED onto Inspect's CORRECT / PARTIAL / INCORRECT. A grader parse failure (the grader model not emitting a parseable verdict) is treated as a scoring-instrument failure and returns Score.unscored(), keeping the sample out of the accuracy denominator rather than recording it as a non-answer from the model under test.

Why it earns its place: absence isn't support

The rubric refuses to let absence of evidence pass as support. A negative claim like "I made no network calls" only scores SUPPORTED if the transcript is actually capable of showing that class of event. If the transcript cannot expose the relevant events, the claim is PARTIAL or UNSUPPORTED — never SUPPORTED. This surfaces overclaims instead of laundering them through a plausible rationale.

The scorer assesses support against the Inspect transcript only (transcript-visible events), not against actual runtime truth in the environment.

Install

pip install inspect-claim-support

Use

from inspect_ai import Task
from inspect_claim_support import claim_support

task = Task(
    dataset=...,
    solver=...,
    scorer=claim_support(),   # optionally: claim_support(model="openai/gpt-4o")
)

Once installed, the scorer is also resolvable by its namespaced registry name inspect_claim_support/claim_support via Inspect's setuptools entry point.

Parameters

• template — grading template (defaults to a SUPPORTED / PARTIAL / UNSUPPORTED rubric with the absence-isn't-support boundary built in).
• model — model to use for grading (defaults to the model being evaluated).

Origin & credit

This scorer originated as UKGovernmentBEIS/inspect_ai#4166 (addressing issue #4143). The Inspect maintainers judged that it better fits an external package than Inspect core, so it is distributed here. The implementation uses only Inspect's public API (the internal chat_history helper is reimplemented locally for transcript rendering).

License

MIT